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A climate scenario refers to a plausible
future climate, and a climate change scenario, implies the difference
between some plausible future climate and the present-day climate.
The Climate scenarios are in turn driven by greenhouse gas scenarios,
which are again built around the plausible future paths that a society
may take. Under the aegis of NATCOM, both climate and GHG emission
scenarios have been developed to have a peak at the likely future
conditions when climate change will prevail. The following section
discusses some of the results of the projections made by the climate
and GHG emission models.
Construction of Climate scenarios
for India
State-of-art coupled
Atmosphere-Ocean General Circulation Models (AOGCMs) using three
types of future greenhouse gas emission scenarios (IS92a, A2 and
B2) and a regional climate model (HadRM2) using only IS92a have
been run for projecting the rainfall and temperature scenarios upto
the middle of the 21st century. Apart from developing scenarios
for temperature and rainfall, high-resolution HadRM2 simulations
are also used to study extreme climate events and their future projections
over India. Model simulations under scenarios of increased greenhouse
gas concentrations indicate marked increase in both rainfall and
temperature into the 21st century, particularly becoming conspicuous
after the 2040's.
There is considerable inter-model dispersion in the case of monsoon
rainfall projections, while the models show a better consensus in
their temperature projections. While the scenarios presented in
this study are indicative of the expected range of rainfall and
temperature changes, it must be noted that the quantitative estimates
still have large uncertainties associated with them. Evaluation
of HadRM2 performance has been done on the basis of different indices
representing extremes such as the mean number of rainy days, intensity
of rainfall on a rainy day, annual extreme rainfall, etc. For temperature,
the magnitudes of extremes in maximum and minimum temperatures are
considered. The model reproduces the spatial patterns of rainfall
and temperature extremes quite reasonably while some systematic
biases of under/over estimation of extremes are noted across the
country.
The analyses carried out show that there is a general tendency for
the number of rainy days all over the country to show some decline
while the mean intensity of rainfall on a rainyday increases in
the increased greenhouse gas (GHG) simulations. The extremes in
both rainfall and temperature (maximum and minimum) generally show
an increase in the GHG simulations over the country.
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| Spatial patterns of
projected seasonal surface air temperature change (°C) by
HadRM2 for 2050s relative to 1990s, under transient increase
of greenhouse gas concentrations. |
Spatial patterns of
projected seasonal precipitation change (mm) by HadRM2 for 2050s
relative to 1990s, under transient increase of greenhouse gas
concentrations. |
GHG emission scenarios
The future greenhouse gas (GHG) emissions depend
on the development pathways driven by economic, demographic, land
use, agricultural, technological and energy drivers. The interactions
among these key-drivers are complex and have profound regional specificity.
Significant regional and sectoral variability in resource endowment
and economic development exists within India. The future states
of India's development are visualized as four scenarios differentiated
by the extent of market integration (extent of liberalization and
integration with global markets) and type of governance (centralization
or decentralization). Four Indian (referred with prefix I) scenarios
are named IA1, IA2, IB1 and IB2 to follow IPCC SRES scenarios. The
plausibility of scenarios thus exists within the Indian reality.
The IA1 scenario, for instance, can be interpreted as the early
and rapid diffusion of the dynamics that already exist in economically
advanced states within India. Pathways for carbon dioxide (CO2)
emission that correspond to each scenario are projected using an
integrated energy systems modeling framework. Emissions for the
other five GHGs are projected with suitable techniques. While the
research is agnostic about the probability for realization of a
scenario, the IA2 scenario is treated as reference for discussing
the key results. Some of the key findings for the period 2000 to
2030 for IA2 scenario suggest that the four fold increase in GDP
shall be accompanied by increase in CO2 emissions by 2.8 times,
methane by 1.3 times, nitrous oxide by 2.6 times and other three
fluorochemical GHGs (combined) by 15 times.
The extraordinarily high growth of fluorochemical GHGs is due to
small initial base and rapidly increasing emissions of HFC-23. While
the emissions in Indian reference scenario IA2 rises at rates higher
than those globally observed in SRES A2 scenario the per capita
GHG emissions for the basket of six gases for India would still
be only 2.56 tons-CO2 equivalent/capita in 2030 - which would remain
significantly below the global average. The emissions scenarios
developed follow the IPCC emission scenarios. Policy relevant scenario
developments call for wider consultation and validation via a national
process.
Future GHG emission projections under
business-as-usual (IA2) scenario in CO2 equivalent terms (Million
tons per year)
| CO2 equivalent emissions |
2000 |
2010 |
2020 |
2030 |
| Carbon dioxide (CO2) |
956 |
1507 |
2080 |
2572 |
| Methane (CH4) |
391 |
422 |
462 |
529 |
| Nitrous oxide (N2O) |
95 |
156 |
214 |
250 |
| Perfluorocarbons (PFCs) |
7.1 |
10.3 |
15.2 |
24 |
| Hydrofluorocarbons (HFCs) |
3.7 |
15 |
56 |
110 |
| Sulfur hexafluoride (SF6) |
0.3 |
4.4 |
11.9 |
21.3 |
| Total CO2-Equivalent |
1454 |
2115 |
2839 |
3507 |
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